Network Engineer (AI & GPU Cloud) - Junior to Senior
Your new company
You will be joining one of Asia's leading digital infrastructure and technology organizations, supporting next-generation AI, cloud, and high-performance computing (HPC) platforms. The company is heavily investing in cutting-edge GPU infrastructure and advanced networking technologies that enable large-scale AI workloads for enterprise customers across the region.
Your new role
As a GPU Infrastructure Network Engineer, you will play a key role in designing, operating, and optimizing high-performance networking environments that power large-scale AI and GPU cloud platforms. You will work closely with infrastructure, cloud, and operations teams to ensure reliable and scalable network services for mission-critical AI workloads.
Job Responsibilities
• Design, implement, and support high-performance networking solutions for AI and GPU cloud environments.
• Monitor, troubleshoot, and optimize network performance across large-scale infrastructure platforms.
• Manage network technologies such as BGP, EVPN, VXLAN, and data center networking solutions.
• Collaborate with cross-functional teams to deliver secure, reliable, and scalable network services.
• Develop automation and monitoring capabilities to improve operational efficiency and system reliability.
Job Requirements
• Degree in Computer Science, Network Engineering, Information Technology, or a related discipline.
• Experience managing and troubleshooting enterprise or data center networks utilizing BGP, EVPN, VXLAN, and TCP/IP technologies.
• Hands-on experience with Linux environments and networking platforms such as Arista, Cumulus Linux, Ubuntu, or Red Hat.
• Familiarity with automation and infrastructure tools such as Python, Ansible, Zabbix, NetBox, Infrastructure-as-Code, or CI/CD pipelines.
• Exposure to AI, HPC, cloud, or GPU-based infrastructure environments, with an understanding of large-scale distributed computing architectures.
• Knowledge of storage technologies, virtualization, cloud platforms, and NVIDIA GPU technologies, coupled with strong analytical, stakeholder management, and problem-solving skills.
• Comfortable working in a 24x7 operational environment, including 12-hour shift rotations, and providing support outside standard business hours when required.
What you'll get in return
You'll have the opportunity to work on one of the most advanced AI infrastructure environments in the region, gaining hands-on exposure to GPU cloud platforms, high-performance networking, and emerging AI technologies. The role offers strong technical growth, ownership, and long-term career development opportunities.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or email eugene.fo@hays.com.sg for a confidential discussion on your career. Referrals are welcome.
If this job isn't quite right for you, but you are looking for a new position within the tech space, please contact us as well.
EA Reg Number: R25127914
EA License Number: 07C3924 | Company Registration No: 200609504D